AGNO: an adaptive group communication scheme for unstructured P2P networks

  • Authors:
  • Dimitrios Tsoumakos;Nick Roussopoulos

  • Affiliations:
  • Department of Computer Science, University of Maryland, College Park;Department of Computer Science, University of Maryland, College Park

  • Venue:
  • Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
  • Year:
  • 2005

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Abstract

We present the Adaptive Group Notification (AGNO) scheme for efficiently contacting large peer populations in unstructured Peer-to-Peer networks. AGNO defines a novel implicit approach towards group membership by monitoring demand for content as this is expressed through lookup operations. Utilizing search indices, together with a small number of soft-state shortcuts, AGNO achieves effective and bandwidth-efficient content dissemination, without the cost and restrictions of a membership protocol or a DHT. Our method achieves high-success content transmission at a cost at least two times smaller than proposed techniques for unstructured networks.